Triple
T13861787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loisach |
E333213
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Partnach |
E753810
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Partnach | Statement: [Loisach, hasTributary, Partnach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Partnach Context triple: [Loisach, hasTributary, Partnach]
-
A.
Partnach
chosen
Partnach is a river in the Bavarian Alps of Germany, known for flowing through the scenic Partnach Gorge near Garmisch-Partenkirchen.
-
B.
Humahuaca
Humahuaca is a historic town in Argentina’s Jujuy Province, known for its colonial architecture and its location within the UNESCO-listed Quebrada de Humahuaca valley.
-
C.
Caranavi
Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
-
D.
Chaca
Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
-
E.
Pasuquin
Pasuquin is a coastal municipality in the province of Ilocos Norte in the Philippines, known for its salt-making industry and scenic beaches.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.